AIMC Topic: Sweetening Agents
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ATR-FTIR spectroscopy and machine/deep learning models for detecting adulteration in coconut water with sugars, sugar alcohols, and artificial sweeteners.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jul 3, 2024
Packaged coconut water offers various options, from pure to those with added sugars and other additives. While the purity of coconut water is esteemed for its health benefits, its popularity also exposes it to potential adulteration and misrepresenta...
An eco-friendly approach for analysing sugars, minerals, and colour in brown sugar using digital image processing and machine learning.
Food research international (Ottawa, Ont.)
Jun 28, 2024
Brown sugar is a natural sweetener obtained by thermal processing, with interesting nutritional characteristics. However, it has significant sensory variability, which directly affects product quality and consumer choice. Therefore, developing rapid ...
DeepRA: A novel deep learning-read-across framework and its application in non-sugar sweeteners mutagenicity prediction.
Computers in biology and medicine
Jun 12, 2024
Non-sugar sweeteners (NSSs) or artificial sweeteners have long been used as food chemicals since World War II. NSSs, however, also raise a concern about their mutagenicity. Evaluating the mutagenic ability of NSSs is crucial for food safety; this ste...
Novel scaffold of natural compound eliciting sweet taste revealed by machine learning.
Food chemistry
Apr 18, 2020
Sugar replacement is still an active issue in the food industry. The use of structure-taste relationships remains one of the most rational strategy to expand the chemical space associated to sweet taste. A new machine learning model has been setup ba...
Cross-sectional survey of the amount of free sugars and calories in carbonated sugar-sweetened beverages on sale in the UK.
BMJ open
Nov 15, 2016
OBJECTIVES: To investigate the free sugars and calorie content of carbonated sugar-sweetened beverages (CSSB) available in the main UK supermarkets.
Development of Machine Learning-Based Models for Mutagenicity Predictions with Applications to Non-Sugar Sweeteners.
Molecular informatics
Jun 1, 2025
Artificial sweeteners, often known as non-sugar sweeteners (NSSs), have been utilized as food additives since World War II. However, there is also concern regarding the mutagenicity potential of NSSs. Every new chemical registration in the food and p...
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